Within healthcare, artificial intelligence (AI) is becoming a major constituent of many applications, including drug discovery, remote patient monitoring, medical diagnostics and imaging, risk management, wearables, virtual assistants, and hospital management. Many domains with big data components such as the analysis of DNA and RNA sequencing data are also expected to benefit from the use of AI. Medical fields that rely on imaging data, including radiology, pathology, dermatology, and ophthalmology, have already begun to benefit from the implementation of AI methods. Within radiology, trained physicians visually assess medical images and report findings to detect, characterize and monitor diseases. Such assessment is often based on education and experience and can be, at times, subjective. In contrast to such qualitative reasoning, AI excels at recognizing complex patterns in imaging data and can provide a quantitative assessment in an automated fashion. More accurate and reproducible radiology assessments can then be made when AI is integrated into the clinical workflow as a tool to assist physicians.
Topic:
As stated in the above text AI is becoming a major game-changer in the medical industry. In this discussion please provide 1 pro and 1 con of utilizing AI in medical facilities.
Assignment Requirements
- Support your pro/con with facts by conducting research.
- Minimum of 2 references required.
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